Fuzzy Control to Improve Energy-Economizing in Cyber-Physical Systems

Sheng-Tzong Cheng, Ju Hsien Chou

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Energy-supply issues constitute one of the most important issues that we face nowadays. Before a viable alternative energy source of supply is discovered and implemented, saving energy is essential. To improve the energy economizing of actuators, this work proposes a method based on fuzzy logic for scheduling and controlling electrical operators in a cyber-physical system. With the feedbacks of sensor data including output of process and the environmental variations, the intelligent controller can gather the current situation and predicted trend. After analyzing the data with the fuzzy rule, the actuators are controlled with the consideration of the desired set point and energy economizing. The results of a simulation reveal that the fuzzy control method for actuators in a cyber-physical system can be used to minimize the power consumption of the system while accomplishing the desired set point.

Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalApplied Artificial Intelligence
Volume30
Issue number1
DOIs
Publication statusPublished - 2016 Jan 2

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Fuzzy control
Actuators
Fuzzy rules
Fuzzy logic
Energy conservation
Electric power utilization
Scheduling
Feedback
Controllers
Sensors
Cyber Physical System

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

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Fuzzy Control to Improve Energy-Economizing in Cyber-Physical Systems. / Cheng, Sheng-Tzong; Chou, Ju Hsien.

In: Applied Artificial Intelligence, Vol. 30, No. 1, 02.01.2016, p. 1-15.

Research output: Contribution to journalArticle

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